Dual Lean Six Sigma Green and Black Belt Training
Categories
Lean Six Sigma Certification
$99 – $2,099Price range: $99 through $2,099
$99
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LevelIntermediate
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Duration60 hours
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Last UpdatedDecember 27, 2025
Hi, Welcome back!
Requirements
- No prior Lean Six Sigma certification required
- Basic understanding of business or process workflows is helpful
- Stable internet connection for online sessions
- Certificate soft copy will be emailed within 48 hours of course completion
Target Audience
- Project managers
- Engineers and process engineers
- Quality professionals
- Business analysts
- Operations managers
- Professionals seeking Green & Black Belt certification
Material Includes
- 4 days of instructor-led classroom or live online training
- Lean Six Sigma Green Belt & Black Belt certificates
- 60 contact hours (PDU) certificate
- 400 practice questions for first-attempt exam success
- Simulation tests for LSSGB & LSSBB
- Downloadable course materials designed by industry experts
- Industry-based case studies and real-life examples
- Lifetime access to downloaded course materials
- 100% money-back guarantee
Description
Certification Guide offers an optimized Dual Lean Six Sigma Green and Black Belt Training program that enables professionals to achieve two globally recognized certifications in a single, comprehensive course. This in-depth training is designed by industry experts and focuses on real-life examples, simulations, and hands-on case studies to build strong practical competence.
This program combines Lean methodologies for waste reduction with Six Sigma’s data-driven quality improvement techniques, helping participants lead process improvement initiatives and drive operational excellence across industries.
What I will learn?
- Lean principles for waste elimination
- Six Sigma DMAIC methodology (Define, Measure, Analyze, Improve, Control)
- Root cause analysis and statistical problem-solving tools
- Process mapping, SIPOC, and value stream mapping
- Hypothesis testing and inferential statistics
- Design of Experiments (DOE)
- Statistical Process Control (SPC)
- Managing improvement projects and organizational change
Course Agenda
Day 1
Introduction
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Introduction to PMI, PMP, and Course
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Certification Guide, Instructor, Participant introduction and Set expectation by participant
Module 01 : Overview of Lean and Six Sigma
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Organizational Objective
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Introduction, Deliverables, and Benefits of Lean Six Sigma Yellow Belt
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Introduction, Deliverables, and Benefits of Lean Six Sigma Green Belt
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Introduction, Deliverables, Benefits of Lean Six Sigma Black Belt
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Profit
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Course Overview
Module 02 : Six Sigma: The Basics
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The Meaning of Six Sigma
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Problem solving strategy
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History of Six Sigma and Continuous Improvement
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Roles and Responsibilities
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Project Team Selection
Module 03 : Six Sigma: The Fundamentals
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Voice of Customer
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Critical to Quality (CTQ)
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Affinity Diagrams & Pareto Analysis (80:20)
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Cost of Poor Quality
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Six Sigma Projects: DMAIC
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Basic Six Sigma Matrix
Module 04 : Project Management
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Change
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Project Management Basics
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Business Case and Project Charter
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Cost Benefit Analysis
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Project Risk Management
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Failure Mode & Effects Analysis (FMEA)
Day 2
Module 05 : Lean
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Understanding Lean
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Lean: History
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Lean vs 7 Deadly Wastes
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Lean and Six Sigma
Measure
Module 06 : Process Definition
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Process Mapping, SIPOC, Value Stream Map
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XY Matrix
Module 07 : Six Sigma Statistics
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Basic Statistics
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Descriptive Statistics
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Distribution and Normality
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Graphical Analysis
Module 08 : Measurement System Analysis
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Precision & Accuracy
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Accuracy: BIAS, Linearity & Stability
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Variable MSA: GRR
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Stability
Module 09 :Process Capability
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Capability Analysis
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Attribute and Discrete Capabilities
Day 3 : Analyze
Module 10 : Patterns of Variation
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MultiVari Analysis
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Classes of Distributions
Module 11 : Inferential Statistics
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Understanding Inference
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Sampling Techniques and Uses
Module 12 : Hypothesis Testing
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General concepts and goals of Hypothesis testing
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Significance Practical vs Statistical
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Risk: Alpha & Beta
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Hypothesis Testing
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Reading tables
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Excel: Data Analysis ToolPak
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Testing from Normality
Module 13 : Hypothesis Testing with Normal Data
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Test of Equal Variance
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Z Tests
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1 Sample T Test
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2 Sample T Test
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Sample Variance: Chi Square
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One Way Anova
Day 4
Module 14 : Hypothesis Testing with Non-Normal Data
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MannWhitney
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Kruskal Wallis
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Mood’s Median
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Friedman
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1 Sample Sign
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1 Sample Wilcoxon
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One and two Sample proportion
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ChiSquared
Improve
Root Cause Analysis
Module 15 : Correlation and Linear regression
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Correlation
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Scatter Plot/ XY Diagram
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Regression Analysis
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Residuals Analysis
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Multiple Linear Regressions
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Data Transformation, Box, Cox
Module 16 : Design of Experiments (DOE)
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Designed Experiments
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Full Factorial Experiments
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Fractional Factorial Experiments
Module 17 : Lean Tools and Practices
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Lean:5s Visual Factory & Standardized work
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Lean: Kaizen, Kanban & PokaYoke
Day 5 : Control
Module 18 : Statistical Process Control (SPC)
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Data Collection for SPC
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Control Chart Structure and Rules
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IMR Chart
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XbarR Chart
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XbarS Chart
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NPChart
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PChart
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CChart
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UChart
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CumSum Chart
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EWMA Chart
Module 19 : Six Sigma Control Plans
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Control Plans
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Module 20 : Lean Controls
Final Exam Session
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